TY - GEN
T1 - Reaching a Consensus with Limited Information
AU - Zhu, Jingxuan
AU - Lin, Yixuan
AU - Liu, Ji
AU - Morse, A. Stephen
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In its simplest form the well known consensus problem for a networked family of autonomous agents is to devise a set of protocols or update rules, one for each agent, which can enable all of the agents to adjust or tune their "agreement variable"to the same value by utilizing real-time information obtained from their "neighbors"within the network. The aim of this paper is to study the problem of achieving a consensus in the face of limited information transfer between agents. By this it is meant that instead of each agent receiving an agreement variable or real-valued state vector from each of its neighbors, it receives a linear function of each state instead. The specific problem of interest is formulated and provably correct algorithms are developed for a number of special cases of the problem.
AB - In its simplest form the well known consensus problem for a networked family of autonomous agents is to devise a set of protocols or update rules, one for each agent, which can enable all of the agents to adjust or tune their "agreement variable"to the same value by utilizing real-time information obtained from their "neighbors"within the network. The aim of this paper is to study the problem of achieving a consensus in the face of limited information transfer between agents. By this it is meant that instead of each agent receiving an agreement variable or real-valued state vector from each of its neighbors, it receives a linear function of each state instead. The specific problem of interest is formulated and provably correct algorithms are developed for a number of special cases of the problem.
UR - https://www.scopus.com/pages/publications/85139122085
U2 - 10.1109/CDC51059.2022.9993039
DO - 10.1109/CDC51059.2022.9993039
M3 - Conference contribution
AN - SCOPUS:85139122085
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 4579
EP - 4584
BT - 2022 IEEE 61st Conference on Decision and Control, CDC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 61st IEEE Conference on Decision and Control, CDC 2022
Y2 - 6 December 2022 through 9 December 2022
ER -